# Be careful not to share any config files where you have entered your password.

serverUrl = https://katagotraining.org/

username = Fill in your username here

password = Fill in your password here

# If your password has hash signs or trailing spaces, you can also surround the password with double quotes, like this.

# Within double quotes, backslashes are escape characters.

# password = "Fill in your password here"

# How many games should KataGo play at once? For good GPUs, putting too small a number here will be *very* inefficient.

# For absolute-top-tier GPUs, try numbers like 32, 40, 64, etc.

# For modern good middle-tier GPUs, you can try numbers like 8 or 16.

# For very old or weak GPUs, or if you want KataGo to put less load on your system, try 4.

maxSimultaneousGames = Fill in a number here

# Set to true if you want one of KataGo's games to be streamed to a text file, so you can watch.

# Follow in a separate shell with a command like the following:

# Linux: "tail -f watchgame.txt"

# Windows Powershell: "Get-Content .\watchgame.txt -Tail 50 -Wait"

watchOngoingGameInFile = false

watchOngoingGameInFileName = watchgame.txt

# If you use an https proxy to connect to the internet, set these to the host and port of your proxy.

# proxyHost = HOSTNAME

# proxyPort = 1234

# Special-purpose options. Most users should not need to adjust these.

# onlyPlayRatingMatches = false

# maxRatingMatches = 1

# disablePredownloadLoop = false

# warnTaskUnusedKeys = false

# KataGo will only use one GPU by default. You can edit the below if you have multiple GPUs and want to use them all.

# TO USE MULTIPLE GPUS:

# Set this to the number of GPUs you have and/or would like to use.

# **AND** if it is more than 1, uncomment the appropriate CUDA or OpenCL section below.

# numNNServerThreadsPerModel = 1

# TENSORRT GPU settings--------------------------------------

# These only apply when using the TENSORRT version of KataGo.

# IF USING ONE GPU: optionally uncomment and change this if the GPU you want to use turns out to be not device 0

# trtDeviceToUse = 0

# IF USING TWO GPUS: Uncomment these two lines (AND set numNNServerThreadsPerModel above):

# trtDeviceToUseThread0 = 0 # change this if the first GPU you want to use turns out to be not device 0

# trtDeviceToUseThread1 = 1 # change this if the second GPU you want to use turns out to be not device 1

# IF USING THREE GPUS: Uncomment these three lines (AND set numNNServerThreadsPerModel above):

# trtDeviceToUseThread0 = 0 # change this if the first GPU you want to use turns out to be not device 0

# trtDeviceToUseThread1 = 1 # change this if the second GPU you want to use turns out to be not device 1

# trtDeviceToUseThread2 = 2 # change this if the third GPU you want to use turns out to be not device 2

# You can probably guess the pattern if you have four, five, etc. GPUs.

# CUDA GPU settings--------------------------------------

# These only apply when using the CUDA version of KataGo.

# IF USING ONE GPU: optionally uncomment and change this if the GPU you want to use turns out to be not device 0

# cudaDeviceToUse = 0

# IF USING TWO GPUS: Uncomment these two lines (AND set numNNServerThreadsPerModel above):

# cudaDeviceToUseThread0 = 0 # change this if the first GPU you want to use turns out to be not device 0

# cudaDeviceToUseThread1 = 1 # change this if the second GPU you want to use turns out to be not device 1

# IF USING THREE GPUS: Uncomment these three lines (AND set numNNServerThreadsPerModel above):

# cudaDeviceToUseThread0 = 0 # change this if the first GPU you want to use turns out to be not device 0

# cudaDeviceToUseThread1 = 1 # change this if the second GPU you want to use turns out to be not device 1

# cudaDeviceToUseThread2 = 2 # change this if the third GPU you want to use turns out to be not device 2

# You can probably guess the pattern if you have four, five, etc. GPUs.

# KataGo will automatically use FP16 or not based on the compute capability of your NVIDIA GPU. If you

# want to try to force a particular behavior though you can uncomment these lines and change them

# to "true" or "false". E.g. it's using FP16 but on your card that's giving an error, or it's not using

# FP16 but you think it should.

# cudaUseFP16 = auto

# cudaUseNHWC = auto

# ------------------------------

# Metal GPU settings

# ------------------------------

# These only apply when using the METAL version of KataGo.

# For one Metal instance: KataGo will automatically use the default device.

# metalDeviceToUse = 0

# For two Metal instance: Uncomment these options, AND set numNNServerThreadsPerModel = 2 above.

# This will create two Metal instances, best overlapping the GPU and CPU execution.

# metalDeviceToUseThread0 = 0

# metalDeviceToUseThread1 = 1

# The pattern continues for additional Metal instances.

# OpenCL GPU settings--------------------------------------

# These only apply when using the OpenCL version of KataGo.

# Uncomment to tune OpenCL for every board size separately, rather than only the largest possible size

# openclReTunePerBoardSize = true

# IF USING ONE GPU: optionally uncomment and change this if the best device to use is guessed incorrectly.

# The default behavior tries to guess the 'best' GPU or device on your system to use, usually it will be a good guess.

# openclDeviceToUse = 0

# IF USING TWO GPUS: Uncomment these two lines and replace X and Y with the device ids of the devices you want to use.

# It might NOT be 0 and 1, some computers will have many OpenCL devices. You can see what the devices are when

# KataGo starts up - it should print or log all the devices it finds.

# (AND also set numNNServerThreadsPerModel above)

# openclDeviceToUseThread0 = X

# openclDeviceToUseThread1 = Y

# IF USING THREE GPUS: Uncomment these three lines and replace X and Y and Z with the device ids of the devices you want to use.

# It might NOT be 0 and 1 and 2, some computers will have many OpenCL devices. You can see what the devices are when

# KataGo starts up - it should print or log all the devices it finds.

# (AND also set numNNServerThreadsPerModel above)

# openclDeviceToUseThread0 = X

# openclDeviceToUseThread1 = Y

# openclDeviceToUseThread2 = Z

# You can probably guess the pattern if you have four, five, etc. GPUs.

# KataGo will automatically use FP16 or not based on testing your GPU during tuning. If you

# want to try to force a particular behavior though you can uncomment this lines and change it

# to "true" or "false". This is a fairly blunt setting - more detailed settings are testable

# by rerunning the tuner with various arguments.

# openclUseFP16 = auto

# Eigen-specific settings--------------------------------------

# These only apply when using the Eigen (pure CPU) version of KataGo.

# This is the number of CPU threads for evaluating the neural net on the Eigen backend.

# It defaults to numSearchThreads.

# numEigenThreadsPerModel = X